12 model-driven-engineering Postdoctoral positions at University of Texas at Arlington
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Environmental Sciences in the College of Science, at the University of Texas at Arlington, invites applications for a Postdoctoral Research Associate position in air quality modeling and forecasting of extreme
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a PhD degree in Electrical Engineering or related field, with strong technical background in both modeling/design and experimental skills in photonic crystal optoelectronics and nanophotonics
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology
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of Engineering at the University of Texas at Arlington invites applications for a rank Postdoctoral status. This position will focus on analyzing imaging data, developing novel methods for analysis and integration
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general circulation model, analyzing ground-based and satellite measurements, and conducting data-model comparisons. In accordance with USCIS regulations, successful applicants must be legally able
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Position Information Posting Number F00613P Position Title Postdoctoral Research Associate Department Electrical Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Non
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participation in proposal writing. Her/his technical proficiency should encompass isotope geochemistry, hydrogeology, and numerical modeling. A deep understanding of serpentinization processes, including water
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to coral disease and immunity. Apply AI and machine learning techniques to identify patterns and insights in large-scale datasets. Work with data from non-model organisms and familiarity with multi-species
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scintillations during storm and quiet time. Primary responsibilities include analyzing GNSS measurements and other satellite data and conducting data-model comparisons. In accordance with USCIS regulations
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related to your field. Required Qualifications PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or other relevant engineering or science discipline. Expertise